A new position paper argues that fairness failures in generative models stem largely from how we evaluate them—not just from the models themselves—reframing the debate around synthetic media bias and responsible AI generation.
A new benchmark study exposes how authorship verification models break down under shifts in genre, time, and the rise of AI-generated text—raising fresh questions for digital authenticity and synthetic media detection.
Robin Williams' daughter Zelda has reactivated his Instagram account to protest a wave of AI-generated deepfake videos and audio recreations of the late comedian, spotlighting the fight over synthetic media and posthumous digital likeness rights.
Sir Michael Caine has contributed his iconic voice to AI deepfake research, helping scientists probe voice cloning risks and build stronger detection tools for synthetic audio.
Injection attacks bypass a device's camera entirely, feeding synthetic deepfake video directly into verification systems. As these attacks scale in 2026, biometric and identity platforms face a fundamentally harder detection challenge.
A leading speech-to-text AI specialist has reached a $2 billion valuation, underscoring surging investor appetite for voice AI infrastructure powering transcription, voice agents, and synthetic audio pipelines.
Super-resolution models don't recover lost pixels — they hallucinate plausible ones. Here's the technical reality of how AI reconstructs detail, and why it matters for authenticity and forensics.
AI video startup Higgsfield has reached a $5.4B valuation with backing from Goldman Sachs and Intel, signaling investor conviction in the generative video race despite mounting competition from Runway, Pika, and OpenAI's Sora.
Malicious model weights and pickle-based exploits are emerging as serious threats to the AI supply chain. Here's how attackers weaponize model files, why safetensors matters, and what practitioners can do to verify the integrity of downloaded models.
The EU AI Act introduces tiered obligations that ripple across the AI stack, from foundation model providers to infrastructure firms. Here's what changes for compliance, transparency, and the synthetic media disclosure rules that matter most.
New research tackles CLIP's tendency to latch onto shortcut features, proposing a simplicity-bias-aware adaptation that improves generalizable deepfake detection across unseen generative models.
Latent space is the mathematical foundation behind generative models that power deepfakes, face swaps, and AI video. Here's how these compressed representations enable realistic synthetic media generation and manipulation.